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pH Sensor-Embedded Magnetically Driven Capsule for H. pylori Infection Diagnosis
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Title
pH Sensor-Embedded Magnetically Driven Capsule for H. pylori Infection Diagnosis
Issued Date
2022-10-24
Citation
An, Heesu. (2022-10-24). pH Sensor-Embedded Magnetically Driven Capsule for H. pylori Infection Diagnosis. IEEE/RSJ International Conference on Intelligent Robots and Systems.
Type
Conference Paper
Abstract
The Campylobacter-like organism (CLO) test is the most commonly employed test for diagnosing Helicobacter pylori (H. pylori) infection in the stomach. Since the CLO test is an invasive method, non-invasive methods have been proposed. However, the proposed methods exhibit relatively low specificity and sensitivity. In this letter, a novel H. pylori infection diagnosis method that uses a pH sensor-embedded magnetically driven capsule is proposed. The proposed method adopts the principle of the CLO test to diagnose H. pylori infection non-invasively. The capsule comprises two chambers to sample gastric juice, and a pH sensor is embedded inside each chamber. Therefore, H. pylori infection can be diagnosed using the urea hydrolysis property of H. pylori and a pH sensor embedded in the chambers of the capsule. In addition, the capsule can be magnetically actuated using an external magnetic field owing to its neodymium-magnet. The performance of the proposed capsule was evaluated in several aspects. First, the sensing ability of the fabricated pH sensor was verified using a pH buffer solution. Second, the magnetic actuation capacity of the capsule was evaluated using a 6-coil electromagnetic actuation (EMA) system. Third, the gastric juice sampling and pH-sensing capabilities of the assembled capsule were evaluated using a phantom test. Finally, the ability to diagnose H. pylori infection was validated using an ex vivo test. Consequently, this letter highlights the potential feasibility of establishing an H. pylori infection diagnosis method using a pH sensor-embedded magnetically driven capsule.
URI
http://hdl.handle.net/20.500.11750/46795
Publisher
IEEE Robotics and Automation Society (RA)
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박석호
Park, Sukho박석호

Department of Robotics and Mechatronics Engineering

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